@conference {13843,
	title = {Putting the user in the loop: interactive Maximal Marginal Relevance for query-focused summarization},
	booktitle = {Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
	series = {HLT {\textquoteright}10},
	year = {2010},
	month = {2010///},
	pages = {305 - 308},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {Stroudsburg, PA, USA},
	abstract = {This work represents an initial attempt to move beyond "single-shot" summarization to interactive summarization. We present an extension to the classic Maximal Marginal Relevance (MMR) algorithm that places a user "in the loop" to assist in candidate selection. Experiments in the complex interactive Question Answering (ciQA) task at TREC 2007 show that interactively-constructed responses are significantly higher in quality than automatically-generated ones. This novel algorithm provides a starting point for future work on interactive summarization.},
	isbn = {1-932432-65-5},
	url = {http://dl.acm.org/citation.cfm?id=1857999.1858040},
	author = {Jimmy Lin and Madnani,Nitin and Dorr, Bonnie J}
}
